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// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow/core/protobuf/config.proto

package org.tensorflow.framework;

/**
 * Protobuf type {@code tensorflow.RPCOptions}
 */
public final class RPCOptions extends
    org.nd4j.shade.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.RPCOptions)
    RPCOptionsOrBuilder {
private static final long serialVersionUID = 0L;
  // Use RPCOptions.newBuilder() to construct.
  private RPCOptions(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
    super(builder);
  }
  private RPCOptions() {
  }

  @java.lang.Override
  @SuppressWarnings({"unused"})
  protected java.lang.Object newInstance(
      UnusedPrivateParameter unused) {
    return new RPCOptions();
  }

  @java.lang.Override
  public final org.nd4j.shade.protobuf.UnknownFieldSet
  getUnknownFields() {
    return this.unknownFields;
  }
  private RPCOptions(
      org.nd4j.shade.protobuf.CodedInputStream input,
      org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
    this();
    if (extensionRegistry == null) {
      throw new java.lang.NullPointerException();
    }
    org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
        org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
    try {
      boolean done = false;
      while (!done) {
        int tag = input.readTag();
        switch (tag) {
          case 0:
            done = true;
            break;
          case 8: {

            useRpcForInprocessMaster_ = input.readBool();
            break;
          }
          default: {
            if (!parseUnknownField(
                input, unknownFields, extensionRegistry, tag)) {
              done = true;
            }
            break;
          }
        }
      }
    } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
      throw e.setUnfinishedMessage(this);
    } catch (org.nd4j.shade.protobuf.UninitializedMessageException e) {
      throw e.asInvalidProtocolBufferException().setUnfinishedMessage(this);
    } catch (java.io.IOException e) {
      throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
          e).setUnfinishedMessage(this);
    } finally {
      this.unknownFields = unknownFields.build();
      makeExtensionsImmutable();
    }
  }
  public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
      getDescriptor() {
    return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_descriptor;
  }

  @java.lang.Override
  protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            org.tensorflow.framework.RPCOptions.class, org.tensorflow.framework.RPCOptions.Builder.class);
  }

  public static final int USE_RPC_FOR_INPROCESS_MASTER_FIELD_NUMBER = 1;
  private boolean useRpcForInprocessMaster_;
  /**
   * 
   * If true, always use RPC to contact the session target.
   * If false (the default option), TensorFlow may use an optimized
   * transport for client-master communication that avoids the RPC
   * stack. This option is primarily for used testing the RPC stack.
   * 
* * bool use_rpc_for_inprocess_master = 1; * @return The useRpcForInprocessMaster. */ @java.lang.Override public boolean getUseRpcForInprocessMaster() { return useRpcForInprocessMaster_; } private byte memoizedIsInitialized = -1; @java.lang.Override public final boolean isInitialized() { byte isInitialized = memoizedIsInitialized; if (isInitialized == 1) return true; if (isInitialized == 0) return false; memoizedIsInitialized = 1; return true; } @java.lang.Override public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) throws java.io.IOException { if (useRpcForInprocessMaster_ != false) { output.writeBool(1, useRpcForInprocessMaster_); } unknownFields.writeTo(output); } @java.lang.Override public int getSerializedSize() { int size = memoizedSize; if (size != -1) return size; size = 0; if (useRpcForInprocessMaster_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(1, useRpcForInprocessMaster_); } size += unknownFields.getSerializedSize(); memoizedSize = size; return size; } @java.lang.Override public boolean equals(final java.lang.Object obj) { if (obj == this) { return true; } if (!(obj instanceof org.tensorflow.framework.RPCOptions)) { return super.equals(obj); } org.tensorflow.framework.RPCOptions other = (org.tensorflow.framework.RPCOptions) obj; if (getUseRpcForInprocessMaster() != other.getUseRpcForInprocessMaster()) return false; if (!unknownFields.equals(other.unknownFields)) return false; return true; } @java.lang.Override public int hashCode() { if (memoizedHashCode != 0) { return memoizedHashCode; } int hash = 41; hash = (19 * hash) + getDescriptor().hashCode(); hash = (37 * hash) + USE_RPC_FOR_INPROCESS_MASTER_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getUseRpcForInprocessMaster()); hash = (29 * hash) + unknownFields.hashCode(); memoizedHashCode = hash; return hash; } public static org.tensorflow.framework.RPCOptions parseFrom( java.nio.ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.RPCOptions parseFrom( java.nio.ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.framework.RPCOptions parseFrom( org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.RPCOptions parseFrom( org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.framework.RPCOptions parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.RPCOptions parseFrom( byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.framework.RPCOptions parseFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.framework.RPCOptions parseFrom( java.io.InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input, extensionRegistry); } public static org.tensorflow.framework.RPCOptions parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input); } public static org.tensorflow.framework.RPCOptions parseDelimitedFrom( java.io.InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input, extensionRegistry); } public static org.tensorflow.framework.RPCOptions parseFrom( org.nd4j.shade.protobuf.CodedInputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.framework.RPCOptions parseFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input, extensionRegistry); } @java.lang.Override public Builder newBuilderForType() { return newBuilder(); } public static Builder newBuilder() { return DEFAULT_INSTANCE.toBuilder(); } public static Builder newBuilder(org.tensorflow.framework.RPCOptions prototype) { return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); } @java.lang.Override public Builder toBuilder() { return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); } @java.lang.Override protected Builder newBuilderForType( org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) { Builder builder = new Builder(parent); return builder; } /** * Protobuf type {@code tensorflow.RPCOptions} */ public static final class Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:tensorflow.RPCOptions) org.tensorflow.framework.RPCOptionsOrBuilder { public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor() { return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_descriptor; } @java.lang.Override protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.framework.RPCOptions.class, org.tensorflow.framework.RPCOptions.Builder.class); } // Construct using org.tensorflow.framework.RPCOptions.newBuilder() private Builder() { maybeForceBuilderInitialization(); } private Builder( org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) { super(parent); maybeForceBuilderInitialization(); } private void maybeForceBuilderInitialization() { if (org.nd4j.shade.protobuf.GeneratedMessageV3 .alwaysUseFieldBuilders) { } } @java.lang.Override public Builder clear() { super.clear(); useRpcForInprocessMaster_ = false; return this; } @java.lang.Override public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType() { return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_descriptor; } @java.lang.Override public org.tensorflow.framework.RPCOptions getDefaultInstanceForType() { return org.tensorflow.framework.RPCOptions.getDefaultInstance(); } @java.lang.Override public org.tensorflow.framework.RPCOptions build() { org.tensorflow.framework.RPCOptions result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } @java.lang.Override public org.tensorflow.framework.RPCOptions buildPartial() { org.tensorflow.framework.RPCOptions result = new org.tensorflow.framework.RPCOptions(this); result.useRpcForInprocessMaster_ = useRpcForInprocessMaster_; onBuilt(); return result; } @java.lang.Override public Builder clone() { return super.clone(); } @java.lang.Override public Builder setField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return super.setField(field, value); } @java.lang.Override public Builder clearField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) { return super.clearField(field); } @java.lang.Override public Builder clearOneof( org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) { return super.clearOneof(oneof); } @java.lang.Override public Builder setRepeatedField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { return super.setRepeatedField(field, index, value); } @java.lang.Override public Builder addRepeatedField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return super.addRepeatedField(field, value); } @java.lang.Override public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) { if (other instanceof org.tensorflow.framework.RPCOptions) { return mergeFrom((org.tensorflow.framework.RPCOptions)other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(org.tensorflow.framework.RPCOptions other) { if (other == org.tensorflow.framework.RPCOptions.getDefaultInstance()) return this; if (other.getUseRpcForInprocessMaster() != false) { setUseRpcForInprocessMaster(other.getUseRpcForInprocessMaster()); } this.mergeUnknownFields(other.unknownFields); onChanged(); return this; } @java.lang.Override public final boolean isInitialized() { return true; } @java.lang.Override public Builder mergeFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { org.tensorflow.framework.RPCOptions parsedMessage = null; try { parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) { parsedMessage = (org.tensorflow.framework.RPCOptions) e.getUnfinishedMessage(); throw e.unwrapIOException(); } finally { if (parsedMessage != null) { mergeFrom(parsedMessage); } } return this; } private boolean useRpcForInprocessMaster_ ; /** *
     * If true, always use RPC to contact the session target.
     * If false (the default option), TensorFlow may use an optimized
     * transport for client-master communication that avoids the RPC
     * stack. This option is primarily for used testing the RPC stack.
     * 
* * bool use_rpc_for_inprocess_master = 1; * @return The useRpcForInprocessMaster. */ @java.lang.Override public boolean getUseRpcForInprocessMaster() { return useRpcForInprocessMaster_; } /** *
     * If true, always use RPC to contact the session target.
     * If false (the default option), TensorFlow may use an optimized
     * transport for client-master communication that avoids the RPC
     * stack. This option is primarily for used testing the RPC stack.
     * 
* * bool use_rpc_for_inprocess_master = 1; * @param value The useRpcForInprocessMaster to set. * @return This builder for chaining. */ public Builder setUseRpcForInprocessMaster(boolean value) { useRpcForInprocessMaster_ = value; onChanged(); return this; } /** *
     * If true, always use RPC to contact the session target.
     * If false (the default option), TensorFlow may use an optimized
     * transport for client-master communication that avoids the RPC
     * stack. This option is primarily for used testing the RPC stack.
     * 
* * bool use_rpc_for_inprocess_master = 1; * @return This builder for chaining. */ public Builder clearUseRpcForInprocessMaster() { useRpcForInprocessMaster_ = false; onChanged(); return this; } @java.lang.Override public final Builder setUnknownFields( final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) { return super.setUnknownFields(unknownFields); } @java.lang.Override public final Builder mergeUnknownFields( final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) { return super.mergeUnknownFields(unknownFields); } // @@protoc_insertion_point(builder_scope:tensorflow.RPCOptions) } // @@protoc_insertion_point(class_scope:tensorflow.RPCOptions) private static final org.tensorflow.framework.RPCOptions DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new org.tensorflow.framework.RPCOptions(); } public static org.tensorflow.framework.RPCOptions getDefaultInstance() { return DEFAULT_INSTANCE; } private static final org.nd4j.shade.protobuf.Parser PARSER = new org.nd4j.shade.protobuf.AbstractParser() { @java.lang.Override public RPCOptions parsePartialFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return new RPCOptions(input, extensionRegistry); } }; public static org.nd4j.shade.protobuf.Parser parser() { return PARSER; } @java.lang.Override public org.nd4j.shade.protobuf.Parser getParserForType() { return PARSER; } @java.lang.Override public org.tensorflow.framework.RPCOptions getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }




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